Sold by: DX
Deployed on AWS
DX is an engineering intelligence platform designed by leading researchers. We give engineering leaders and platform teams the data they need to take the right actions to drive higher ROI per developer.
4.6
Overview
The DX platform combines data from development tools with self-reported data collected from developers, offering a comprehensive view of engineering productivity and its underlying factors. DX has developed proprietary measurement frameworks including the DX Core 4 and DXI. The insights from our platform cater to leaders at every level of the organization, from CXOs to platform teams to frontline managers.
Highlights
- DX provides expert-designed measurements and guidance, designed by the same researchers behind DORA, SPACE, and DevEx.
- DX combines qualitative and quantitative data in a single platform, giving you the insights you need to take action to improve productivity.
- DX provides a data lake with AI-powered fully custom reporting, and a single tenant platform that can meet your specific performance needs.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
DX Platform | Access to DX Platform | $15,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Active Contributors | Additional active contributors | $672.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Please reach out to support@getdx.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Joget is an open source no-code/low-code application platform for faster, simpler digital transformation. Joget combines the best of business process automation, workflow management and rapid application development in a platform that is simple, flexible and open.
Joget is an open source no-code/low-code application platform for faster, simpler digital transformation. Joget combines the best of business process automation, workflow management and rapid application development in a platform that is simple, flexible and open.
Joget is an open source no-code/low-code application platform for faster, simpler digital transformation. Joget combines the best of business process automation, workflow management and rapid application development in a platform that is simple, flexible and open.
Flexible end-to-end data management platform for automating complex data workloads between on-premise and cloud data.
Customer reviews
Pedro S.
Easy Setup, Superb Support, and a Great tools overall
Reviewed on Mar 08, 2026
Review provided by G2
What do you like best about the product?
- Easy to setup
- Superb customer support
- Ability to send custom data
- Ability to create custom dashboards
- Mature API
- Ability to launch Ad hoc targeted surveys
- Superb customer support
- Ability to send custom data
- Ability to create custom dashboards
- Mature API
- Ability to launch Ad hoc targeted surveys
What do you dislike about the product?
- Turn around for new features could be faster
What problems is the product solving and how is that benefiting you?
- Identifying bottlenecks in the value creation stream
- Gather developer feedback via surveys
- AI usage insights
- Gather developer feedback via surveys
- AI usage insights
Missy R.
Very collaborative experience using DX
Reviewed on Feb 27, 2026
Review provided by G2
What do you like best about the product?
DX has an intuitive, easy-to-use interface that makes it genuinely user-friendly. I also really appreciate that they surface the queries used to populate metrics, so I can dig in when needed and create custom metrics that are a better fit for the questions I’m trying to answer.
They’ve also been incredibly collaborative and responsive whenever I have questions or run into issues, and it’s clear they take the quality and usability of their product seriously. Even though we’re a smaller account for them, they’ve taken my feedback seriously and worked to implement product changes that better fit our engineering use case. I’ve been very impressed with that.
It's a decently pricey product and I was concerned at first that it would be difficult to prove out it's value. That said, we've gotten great feedback from DX that have led to needed changes in our department. Along with that value and with how much of a partnership we've had with them, it has made it worth it to me.
They’ve also been incredibly collaborative and responsive whenever I have questions or run into issues, and it’s clear they take the quality and usability of their product seriously. Even though we’re a smaller account for them, they’ve taken my feedback seriously and worked to implement product changes that better fit our engineering use case. I’ve been very impressed with that.
It's a decently pricey product and I was concerned at first that it would be difficult to prove out it's value. That said, we've gotten great feedback from DX that have led to needed changes in our department. Along with that value and with how much of a partnership we've had with them, it has made it worth it to me.
What do you dislike about the product?
It’s hard to build a product that’s flexible enough to fit everyone’s use case while still being opinionated enough to avoid becoming a complete mess. Overall, I think they strike that balance very well. That said, it would be nice if a few areas were a bit more customizable. It’s not a major complaint, just a “nice to have.”
What problems is the product solving and how is that benefiting you?
DX has been a useful tool for putting real data behind how teams and individuals are performing. As a manager, the insights I get from this software have helped me coach people on my team more effectively and with more confidence. We’ve also been able to use what we find in the app to set clear team goals around efficiency improvements and track progress based on the data.
Greg S.
Best in Class - Comprehensive Qual + Quant Data Framework for Developer Experience for AI Adoption
Reviewed on Feb 20, 2026
Review provided by G2
What do you like best about the product?
The DX user interface is extremely easy to use, and it provides highly valuable data insights across the entire system development life cycle. The customer success team is outstanding. They're extremely helpful with questions and ongoing suggestions on how to improve your SDLC based on the insights that DX provides. The implementation is pretty easy, and you can generally set it up yourself.
What do you dislike about the product?
There are so many reports available that it can be a bit overwhelming to figure out which one to use.
What problems is the product solving and how is that benefiting you?
We have a fairly large R&D organization that, historically, hasn’t delivered through the most efficient processes. DX provides both AI adoption metrics and clear visibility into where we can improve across our SDLC. It enables engineering managers to look at opportunities tactically and strategically, so they can see where other teams could improve speed and quality.
Computer Software
Review for Platform engineer in TV2
Reviewed on Feb 09, 2026
Review provided by G2
What do you like best about the product?
The interface is easy to use. We use the "pull request"-overview on a daily basis. It's a bit unclear how often the PR's are updated though (if it's daily, hourly etc)
What do you dislike about the product?
We tried PlatformX - we tried the query functionality and it appeard to be very slow.
What problems is the product solving and how is that benefiting you?
We recently started to use Dx, so we are starting to get some insight into how well things are documented in tv2.
Media Production
Great GitHub Integration and Valuable Pull Request Insights
Reviewed on Feb 09, 2026
Review provided by G2
What do you like best about the product?
Github integration, and the insight in PRs
What do you dislike about the product?
The delay in data, we can't query data immidiately.
What problems is the product solving and how is that benefiting you?
Productivity, closer collaboration